Publications

Papers

M. Laib, R. Aggoune, R. Crespo, P. Hubsch, Steel Quality Monitoring Using Data-Driven Approaches: ArcelorMittal Case Study, 2022, Lecture Notes in Computer Science, vol 13377. Paper
M. Kanevski, M. Laib, Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept. ICPR 2021. Lecture Notes in Computer Science, vol 12666. Paper
U. Iffat, E. Roseren, M. Laib, Dealing with High Dimensional Sequence Data in Manufacturing. Procedia CIRP, 2021, 104, pp. 1298-1303. Paper
F. Guignard, M. Laib, F. Amato, M. Kanevski, Advanced analysis of temporal data using Fisher-Shannon information, 2020, Frontiers in Earth Science, 8:255. arXiv / Paper
F. Amato, M. Laib, F. Guignard, M. Kanevski, Analysis of air pollution time series using complexity-invariant distance and information measures, 2020, Physica A, 547:124391. arXiv / Paper
M. Laib and M. Kanevski, A new algorithm for redundancy minimisation in geo-environmental data, 2019. Computers & Geosciences, 133:104328. Paper
M. Laib, F. Guignard, M. Kanevski, L. Telesca, Community detection analysis in wind speed-monitoring systems using mutual information-based complex network, 2019. Chaos, 29(4):043107. arXiv / Paper
L. Telesca, F. Guignard, M. Laib, M. Kanevski, Analysis of temporal properties of extremes of wind measurements from 132 stations over Switzerland, 2019. arXiv / Paper
L. Telesca, M. Laib, F. Guignard, D. Mauree, M. Kanevski, Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas, Chaos, Solitons & Fractals, 120 (2019), pp. 234-244. arXiv / Paper
F. Guignard, M. Lovallo, M. Laib, J. Golay, M. Kanevski, N. Helbig, L. Telesca, Investigating the time dynamics of wind speed in complex terrains by using the Fisher-Shannon method, 2019, Physica A, 523, pp. 611-621. arXiv / Paper
M. Laib, M. Kanevski, A novel filter algorithm for unsupervised feature selection based on a space filling measure. ESANN 2018, pp. 485-490. Paper
M. Laib, L. Telesca, M. Kanevski, Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network, Chaos, 28 (2018) pp. 033108. arXiv / Paper
M. Laib, J. Golay, L. Telesca, M. Kanevski, Multifractal analysis of the time series of daily means of wind speed in complex regions, Chaos, Solitons & Fractals, 109 (2018), pp. 118-127. arXiv / Paper
M. Laib, L. Telesca, M. Kanevski, Periodic fluctuations in correlation-based connectivity density time series, Physica A, 492 (2018), pp. 1555-1569. arXiv / Paper
M. Laib, M. Kanevski, Spatial Modelling of Extreme Wind Speed Distributions in Switzerland, Energy Procedia, 97:100-107, 2016. Paper
I. Rezgui, Z. Gheribi-Aoulmi, M. Laib, La methode combinatoire (s) pour la construction de quelques types de plans en blocs incomplets, Sciences & Technologie A, No. 42, 2015, pp. 15-22. Paper
A. Boudraa, Z. Gheribi-Aoulmi, M. Laib, Recursive Method for Construction of Resolvable Nested Designs, IJRRAS, 17(2):167, 2013. Paper

Conferences

R. Aggoune, M. Laib, A Genetic Algorithm for Feature Selection Applied to Data From Multiple Sources. 23e ROADEF, INSA Lyon, Feb 2022. Abstract
M. Laib, F. Guignard, M. Kanevski, L. Telesca, Analysis of Wind Time Series Using Network Science and Multifractal Concept, EGU General Assembly 2019, Vienna. Poster
M. Laib, J. Golay, F. Guignard, M. Kanevski, Deep Learning for Remote Sensing Scene Classification, EGU General Assembly 2018, Vienna. Poster
M. Laib, J. Golay, L. Telesca, M. Kanevski, Spatial mapping of the multifractal parameters of wind time series in Switzerland, EGU General Assembly 2018, Vienna. Poster
J. Golay, M. Laib, M. Kanevski, IDmining: An R Package for Mining Large Datasets with the Morisita Estimator, EGU General Assembly 2018, Vienna. Poster
M. Kanevski, M. Laib, Analysis of high dimensional environmental data using local fractality concept, EGU General Assembly 2018, Vienna. Abstract
M. Laib, L. Telesca, M. Kanevski, Multifractal analysis of wind speed connectivity time series, Swiss Geoscience Meeting, Davos 2017. Poster
M. Laib, L. Telesca, M. Kanevski, Modelling environmental data using unsupervised feature selection, Spatial Statistics 2017, Lancaster. Poster
M. Laib, M. Kanevski, Network Analysis for High Frequency Wind Speed, EGU General Assembly 2017, Vienna.
M. Laib, M. Kanevski, Modelling Wind Data using Network and Time Series Analysis, Swiss Geoscience Meeting, Geneva 2016. Poster
M. Laib, M. Kanevski, Analysis and Modelling of Extreme Wind Speed Distribution in Mountainous Regions, EGU General Assembly 2016, Vienna. Poster